scholarly journals Effects of system tuning and RAM disk on the performance of a clinical laboratory information system

1989 ◽  
Vol 11 (3) ◽  
pp. 119-123 ◽  
Author(s):  
Arthur A. Eggert ◽  
Kenneth A. Emmerich ◽  
Thomas J. Blankenheim ◽  
Gary J. Smulka

Improvements in the performance of a laboratory computer system do not necessarily require the replacement of major portions of the system and may not require the acquisition of any hardware at all. Major bottlenecks may exist in the ways that the operating system manages its resources and the algorithm used for timesharing decisions. Moreover, significant throughput improvements may be attainable by switching to a faster storage device if substantial disk activity is performed. In this study the fractions of time used for each of the types of tasks a laboratory computer system performs (e.g. applications programs, disk transfer, queue cycler) are defined and measured. Methods for reducing the time fractions of the various types of overhead are evaluated by doing before and after studies. The combined results of the three studies indicated that a 50% improvement could be gained through system tuning and faster storage without replacement of the computer itself

1973 ◽  
Vol 19 (1) ◽  
pp. 27-30 ◽  
Author(s):  
G Phillip Hicks ◽  
R A Ziesemer ◽  
Norbert W Tietz

Abstract An online computer program to monitor kinetic enzyme assays is described. The program analyzes the kinetic data in a manner similar to the way a technologist handles data in a manual procedure, taking into account the lag phase, substrate depletion phase, and linear portion of the rate curve. Thus, complete automation of even complex kinetic assays has been made practical. The program has been implemented for routine use in a clinical laboratory computer system ("LABCOM"), and the results correlate well with those obtained by established methods of manual data-handling procedures


1988 ◽  
Vol 12 (6) ◽  
pp. 365-382 ◽  
Author(s):  
Arthur A. Eggert ◽  
Kenneth A. Emmerich ◽  
Carol A. Spiegel ◽  
Gary J. Smulka ◽  
Patricia A. Horstmeier ◽  
...  

2017 ◽  
Vol 141 (3) ◽  
pp. 410-417 ◽  
Author(s):  
Athena K. Petrides ◽  
Ida Bixho ◽  
Ellen M. Goonan ◽  
David W. Bates ◽  
Shimon Shaykevich ◽  
...  

Context.— A recent government regulation incentivizes implementation of an electronic health record (EHR) with computerized order entry and structured results display. Many institutions have also chosen to interface their EHR with their laboratory information system (LIS). Objective.— To determine the impact of an interfaced EHR-LIS on laboratory processes. Design.— We analyzed several different processes before and after implementation of an interfaced EHR-LIS: the turnaround time, the number of stat specimens received, venipunctures per patient per day, preanalytic errors in phlebotomy, the number of add-on tests using a new electronic process, and the number of wrong test codes ordered. Data were gathered through the LIS and/or EHR. Results.— The turnaround time for potassium and hematocrit decreased significantly (P = .047 and P = .004, respectively). The number of stat orders also decreased significantly, from 40% to 7% for potassium and hematocrit, respectively (P < .001 for both). Even though the average number of inpatient venipunctures per day increased from 1.38 to 1.62 (P < .001), the average number of preanalytic errors per month decreased from 2.24 to 0.16 per 1000 specimens (P < .001). Overall there was a 16% increase in add-on tests. The number of wrong test codes ordered was high and it was challenging for providers to correctly order some common tests. Conclusions.— An interfaced EHR-LIS significantly improved within-laboratory turnaround time and decreased stat requests and preanalytic phlebotomy errors. Despite increasing the number of add-on requests, an electronic add-on process increased efficiency and improved provider satisfaction. Laboratories implementing an interfaced EHR-LIS should be cautious of its effects on test ordering and patient venipunctures per day.


Author(s):  
Michael Yoseph Ricky

The purposes of this research are to design and implementation of laboratory information systems (LIS) at the Laboratory of Cancer Hospital Dharmais (Dharmais Cancer Hospital). The methods used are the method of analysis, design methodology using Total Architecture Synthesis (TAS) and database design methods. Methods include analysis of the survey directly into the clinical laboratory Dharmais Cancer Hospital, and interviews with users who running the current system in Dharmais Cancer Hospital Clinical Laboratory. The design method using TAS. The results of this study is a single integrated Laboratory Information System applications with other systems that exist in Dharmais Cancer Hospital and also the delivery of feature inspection results by using text service and email, in addition to be taken directly to Dharmais Cancer Hospital and sent to the address. The conclusions from this study are all the transactions contained in Dharmais Cancer Hospital Clinical Laboratory have been computerized and integrated. 


Author(s):  
Bonnie Kaplan

Using a variety of research methods provides several advantages. Through multiple methods, different kinds of data are collected, each set of which might provide partial information needed for a complete picture, thereby strengthening the robustness of research results. Research that combines qualitative and quantitative methods, though rare, provides an example of the benefits of multimethod studies. In this chapter, I describe three evaluation research studies that used a combination of qualitative and quantitative methods. In these studies, researchers produced results they would not have achieved if they had not combined methods. The first study is of a pioneering computer-based patient record and clinical decision support system, PROMIS. The second study is of a clinical laboratory information system. The third, a more recent study, evaluated an automated telephone health behavior advisory system. The PROMIS study compared different groups using PROMIS and compared PROMIS users with those using a manual patient record. The laboratory information system and telephone advisory system studies explored differences among ostensibly the same users of the same technology, only to find that these users divided into groups that differed in their responses to the technologies. Such studies could point to considerations other than technology per se that are important in how individuals react to and use technologies. All three studies are examples of how multimethod research can produce significant results.


2004 ◽  
Vol 128 (8) ◽  
pp. 890-892
Author(s):  
Sihe Wang ◽  
Virginia Ho

Abstract Context.—The recently released reports by the Institute of Medicine, To Err Is Human and Patient Safety, have received national attention because of their focus on the problem of medical errors. Although a small number of studies have reported on errors in general clinical laboratories, there are, to our knowledge, no reported studies that focus on errors in pediatric clinical laboratory testing. Objective.—To characterize the errors that have caused corrections to have to be made in pediatric clinical chemistry results in the laboratory information system, Misys. To provide initial data on the errors detected in pediatric clinical chemistry laboratories in order to improve patient safety in pediatric health care. Design.—All clinical chemistry staff members were informed of the study and were requested to report in writing when a correction was made in the laboratory information system, Misys. Errors were detected either by the clinicians (the results did not fit the patients' clinical conditions) or by the laboratory technologists (the results were double-checked, and the worksheets were carefully examined twice a day). No incident that was discovered before or during the final validation was included. On each Monday of the study, we generated a report from Misys that listed all of the corrections made during the previous week. We then categorized the corrections according to the types and stages of the incidents that led to the corrections. Results.—A total of 187 incidents were detected during the 10-month study, representing a 0.26% error detection rate per requisition. The distribution of the detected incidents included 31 (17%) preanalytic incidents, 46 (25%) analytic incidents, and 110 (59%) postanalytic incidents. The errors related to noninterfaced tests accounted for 50% of the total incidents and for 37% of the affected tests and orderable panels, while the noninterfaced tests and panels accounted for 17% of the total test volume in our laboratory. Conclusion.—This pilot study provided the rate and categories of errors detected in a pediatric clinical chemistry laboratory based on the corrections of results in the laboratory information system. A direct interface of the instruments to the laboratory information system showed that it had favorable effects on reducing laboratory errors.


1987 ◽  
Vol 11 (6) ◽  
pp. 391-411 ◽  
Author(s):  
Arthur A. Eggert ◽  
James O. Westgard ◽  
Patricia L. Barry ◽  
Kenneth A. Emmerich

Sign in / Sign up

Export Citation Format

Share Document